An optimal implementation strategy of the multi-function window considering the nonlinearity of its technical-environmental-economic performance by window ventilation system size. (15th August 2019)

• Record Type: Journal Article
• Authors: An, Jongbaek; Hong, Taehoon; Oh, Jeongyoon; Jung, Woojin; Jeong, Kwangbok; Park, Hyo Seon; Lee, Dong-Eun
• Is Part Of: Building and environment. Volume 161(2019)
• Publication Date: 2019-08-15
• Subjects: Multi-function window -- Window ventilation system -- Solar photovoltaic blind -- Nonlinearity analysis -- Multi-objective optimization; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2019.106234
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: To address the problems of the indoor air quality deterioration and energy consumption, this study proposed the multi-function window combined with a ventilation system and solar photovoltaic blind. In this study, multi-objective optimization for determining the optimal design of the multi-function window was conducted along with nonlinearity analysis. The main findings can be summarized as follows. First, from the technical-environmental performance's perspective, the amount of solar radiation and wind volume entering the room were found to be key factors causing nonlinearity. In particular, the total energy consumption and indoor CO2 concentration decreased whereas the predicted percentage dissatisfied deteriorated with the increasing the size of the window ventilation system. Second, from the economic performance's perspective, the absolute and relative investment values showed nonlinear relationships with the amount of electricity generated and the total energy consumption. Especially, as the window ventilation system size increased, the absolute investment value decreased due to the reduced amount of electricity generated, and the relative investment value decreased except when the energy supply was larger than the energy demand. Finally, the window ventilation system size was most suitable when it was 3–5% of the multi-function window's size according to the orientation, from a holistic view of the technical-environmental-economic performance. Highlights: Multi-function window combined with PV blind and a ventilation system was proposed. This study focused on nonlinearity of technical-environmental-economic performance. The design variables of multi-function window are the key factors in nonlinearity. Pareto optimization was conducted to effectively apply multi-function window. Optimal size of ventilation system was determined at 3–5% of multi-function window.